研究生: |
洪兆樂 CHAO-YUEH, HUNG |
---|---|
論文名稱: |
非認知技能內涵對國中生學習成就之影響 The Content of Non-Cognitive Skills and Its Impact on Junior High School Students' Academic Achievement |
指導教授: |
王麗雲
Wang, Li-Yun |
學位類別: |
碩士 Master |
系所名稱: |
教育學系 Department of Education |
論文出版年: | 2013 |
畢業學年度: | 101 |
語文別: | 中文 |
論文頁數: | 197 |
中文關鍵詞: | 非認知技能 、學習成就 、結構方程模式 、台灣教育長期追蹤資料庫 |
英文關鍵詞: | non-cognitive skills, academic achievement, structural equation model, Taiwan Education Panel Survey (TEPS) |
論文種類: | 學術論文 |
相關次數: | 點閱:191 下載:36 |
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本研究旨在探討非認知技能內涵對國中生學習成就是否有影響,為了解非認知技能內涵在台灣脈絡中的情形,採用台灣教育長期追蹤資料庫(Taiwan Education Panel Survey, TEPS)進行次級資料分析,經結構方程模式(structural equation model, SEM)之驗證性因素分析(confirmatory factor analysis, CFA)與潛在變項路徑分析(path analysis with latent variable, PA-LV),討論非認知技能的測量結構與對學習成就的潛在路徑影響。研究結果發現:一、非認知技能概念具有「遵守規範」、「勤勉進取」和「通情達理」三個面向;二、非認知技能獨立於人口統計變項;三、非認知技能僅「遵守規範」和「勤勉進取」對國中生學習成就有正向影響。依據上述研究結果,本研究一併提出對教育實務及未來相關研究建議以供參考。
The purpose of this study is to investigate whether the non-cognitive skills contents ex¬plain the difference in junior high school students' academic achievement. To under¬stand the content of non-cognitive skills in Taiwan, this study uses confirmatory fac¬tor analysis (CFA) and path analysis with latent variable (PA-LV) of structural equation model (SEM) to analyze the data from Taiwan Education Panel Survey (TEPS). Major results of the study are followed: First, the content of non-cognitive skills include "Rule Obeying", "Industry and Effort" and "Reasoning" dimensions. Second, the non-cognitive skills are independent of demographic statistics variables. Third, only "Rule Obeying" and "Industry and Effort" factors have the significant positive effect on junior high school students' academic achievement. According to aforementioned results, some suggestions are proposed to educational practices and further researches for reference.
中文部分
王枝燦、關秉寅(2010,10月)。台灣的老闆要哪種人才?-對人力資本論的反思。論文發表於東海大學社會系舉辦之「學用之間︰台灣高等教育與勞動市場的變遷」學術研討會,臺中縣。
王麗雲(2005a)。進入量化研究的世界。教育資料與研究,62,167-174。
王麗雲(2005b)。理論在量化研究中的地位。教育資料與研究,64,139-148。
行政院青年輔導委員會(2009)。98年大專青年就業力現狀調查報告。臺北市:作者。
吳永佳( 2010 )。念大學,為了什麼?。Cheers 雜誌,116,76-79。
吳明隆(2007)。結構方程模式-AMOS的操作應用。臺北市:五南。
李茂能(2006)。結構方程模式軟體AMOS之簡介及其在測驗編製之應用-Gragpics & Basic。臺北市:心理。
李茂能(2009)。圖解AMOS在學術研究上之應用。臺北市:五南。
周愚文(2000)。中國教育史綱。臺北市:中正。
周愚文(2008)。科舉制度中三個重要問題的現代分析。教育研究集刊,54(1),1-14。
林建福(2002)。教育哲學-情緒層面的特殊觀照(第二版)。台北市:五南。
林恪亨(2010)。人格特質對薪資影響。國立中央大學經濟學系碩士論文,未出版,桃園縣。
直轄市及各縣市短期補習班全國統計資訊管理系統網(2012)。全國文理類最近十年成長圖表。2012年10月27日,取自http://bsb.edu.tw
直轄市及各縣市短期補習班全國統計資訊管理系統網(2013)。全國文理類最近十年成長圖表。2013年7月8日,取自http://bsb.edu.tw
邱皓政(2007)。脈絡變數的多層次潛在變數模式分析:口試評分者效應的多層次結構方程模式應用。中華心理學刊,49(4),383-405。
邱皓政(2008)。量化研究與統計分析:SPSS中文視窗版資料分析範例解析。臺北市:五南。
邱皓政(2011)。結構方程模式(第二版)。臺北市:雙葉書廊。
國立編譯館(編)(2001)。教育大辭書。臺北市:景文書局。
張芳全(2010a)。多層次模型在學習成就之研究。臺北市:心理。
張芳全(2010b)。論文就是要這這樣寫(第二版)。臺北市:心理。
張苙雲(2003a)。台灣教育長期追蹤資料庫:資料使用手冊(2011.12.01版)。臺北市:中央研究院調查研究專題中心學術調查研究資料庫(管理、釋出單位)。
張苙雲(2003b)。台灣教育長期追蹤資料庫:第一波學生問卷(C00124_ A)(原始數據)。2012年9月2日,取自http://srda.sinica.edu.tw
張苙雲(2003c)。台灣教育長期追蹤資料庫:第一波家長問卷(C00124_H)(原始數據)。2012年9月2日,取自http://srda.sinica.edu.tw
張苙雲(2003d)。台灣教育長期追蹤資料庫:第二波學生問卷(C00137_B)(原始數據)。2012年9月2日,取自http://srda.sinica.edu.tw
張苙雲(2005)。如果讓我重做一次研究生。2012年7月31日,取自http://www. wretch.cc/blog/leptin/20570246
張苙雲(2007)。第三波(2005)高中高職五專家長問卷。臺北市:中央研究院調查研究專題中心學術調查研究資料庫(管理、釋出單位)。
張苙雲、歐淑萍(2005)。教育研究的基礎建設:簡介「台灣教育長期追蹤資料庫」計畫。教育研究與發展期刊,1(3),255-263。
張偉豪(2011)。SEM論文寫作不求人。高雄市:三星統計。
陳順宇(2007)。結構方程模式AMOS操作。臺北市:心理。
陳筱宛(譯)(2012)。D. Boorks著。社會性動物:愛、性格與成就來源(The social animal: The hidden sources of love, character and achievement)。臺北市:商周。
辜佑華(2007)。學校教育對學生職場表現與能力發展影響之研究:以技職院校商學院專科部為對象。國立台灣大學生物資源暨農學院農業經濟學系碩士論文,未出版,臺北市。
黃芳銘(2010)。結構方程模式-理論與應用(第五版)。臺北市:五南。
黃芳銘、溫福星(2007)。模式化學習型學校:多層次驗證性面向分析取向。測驗學刊,54(1),197-222。
楊孟麗、譚康榮、黃敏雄(2003)。台灣教育長期追蹤資料庫:心理計量報告TEPS2001分析能力測驗(第一版)。臺北市:中央研究院調查研究專題中心學術調查研究資料庫(管理、釋出單位)。
榮泰生(2008)。AMOS與研究方法(第二版)。臺北市:五南。
劉正(2006)。補習在台灣的變遷、效能與階層化。教育研究集刊,52(4),1-33。
潘慧玲(2006)。緒論:轉變中的教育研究觀點。載於潘慧玲(主編),教育研究的取徑:概念與應用(頁1-34)。臺北市:高等教育。
羅清俊(2003)。變異數分析:以既存資料法與實驗法為例。載於石計生、羅清俊、曾淑芬、邱曉婷、黃慧琦(合著),社會科學研究與SPSS資料分析(頁289-310)。臺北市:雙葉書廊。
譚光鼎(2010)。教育社會學。臺北市:學富文化。
譚康榮(2009)。童年與社會階層化的因果關連機制。人文與社會科學簡訊,10(2),13-19。
譚康榮(2011)。高分低能 唯靠軟技能翻身。信報財經月刊,417,63-67。
蘇國賢、喻維欣(2007)。台灣族群不平等的再探討:解釋本省/外省族群差異的縮減。台灣社會學刊,39,1-63。
外文部分
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-79.
Bas ter, W. (2008). Symposium on noncognitive skills and their development: The noncognitive determinants of labor market and behavioral outcomes. Journal of Human Resources, 43(4), 730-737.
Berg, I. (2002). Economics of education. In D. L. Levinson, P. W. Cookson, & A. R. Sadovnik (Eds.), Education and sociology: An encyclopedia (pp.169-179). New York: Routledge Flamer.
Blanden, J., Gregg, P., & Macmillan, L. (2007). Accounting for intergenerational income persistence: Noncognitive skills, ability and education. Economic Journal, 117(519), C43-C60.
Blau, P. M., & Duncan, O. D. (1967). The American occupational structure. New York: Wiley.
Bodovski, K., & Farkas, G. (2008). Concerted cultivation and unequal achievement in elementary school. Social Science Research, 37, 903-919.
Bollen, K. A. (1989). Structural equations with latent variables. New York: John Wiley & Sons.
Bowles, S., & Gintis, H. (1976). Schooling in capitalist America. New York: Basic Books.
Bowles, S., Gintis, H., & Osborne, M. (2001a). The determinants of earnings: A behavioral approach. Journal of Economic Literature, 39(4), 1137-1176.
Bowles, S., Gintis, H., & Osborne, M. (2001b). Incentive-enhancing preferences: Personality, behavior, and earnings. American Economic Review, 91(2), 155-158.
Buchmann, C., DiPrete, T. A., & McDaniel, A. (2008).Gender inequalities in education. Annual Review of Sociology, 34, 319-337.
Cawley, J., Heckman, J., & Vytlacil, E. (2001). Three observations on wages and measured cognitive ability. Labour Economics, 8, 419-442.
Cheadle, J. E. (2008). Educational investment, family context, and children's math and reading growth from kindergarten through the third grade. Sociology of Education, 81(1), 1-31.
Coneus, K., Gernandt, J., & Saam, M. (2011). Noncognitive skills, school achievements and educational dropout. Journal of Applied Social Science Studies, 131(4), 547-568.
Coneus, K., Laucht, M., & Reuß, K. (2012). The role of parental investments for cognitive and noncognitive skill formation-evidence for the first 11 years of life. Economics and Human Biology, 10(2), 189-209
Cornwell, C., Mustard, D. B., & Van Parys, J. (2013). Noncognitive skills and the gender disparities in test scores and teacher assessments. Journal of Human Resources, 48(1), 236-264.
Covay, E., & Carbonaro, W. (2010). After the bell: Participation in extracurricular activities, classroom behavior, and academic achievement. Sociology of Education, 83(1), 20-45.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
Cunha, F., & Heckman, J. J. (2008). Symposium on noncognitive skills and their development: Formulating, identifying and estimating the technology of cognitive and noncognitive skill formation. Journal of Human Resources, 43(4), 738-782.
Cunha, F., Heckman, J. J. , Lochner , L. J., & Masterov, D. V. (2006). Interpreting the evidence on life cycle skill formation. In E. A. Hanushek & F. Welch (Eds.), Handbook of the Economics of Education (pp. 697-812). Amsterdam: North Holland.
Downey, D. B., & Vogt Yuan, A. S.(2005). Sex differences in school performance during high school: Puzzling patterns and possible explanations. The Sociological Quarterly, 46(2), 299-321.
Entwisle, D. R., Alexander, K. L., & Steffel Olson, L. (2005). First grade and educational attainment by age 22: A new story. American Journal of Sociology, 110(5), 1458-1502.
Farkas, G. (2003). Cognitive skills and noncognitive traits and behaviors in stratification processes. Annual Review of Sociology, 29(1), 541-562.
Farkas, G., Grobe, R. P. , Sheehan, D., & Shuan, Y. (1990). Cultural resources and school success: Gender, ethnicity, and poverty groups within an urban school district. American Sociological Review, 55(1), 127-142.
Fornell, C., & Larcker, D.(1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gardner, H. (2004). Frames of mind: The theory of multiple intelligences. New York : Basic Books.
Giddens, A. (1984). The constitution of society. Cambridge, MA: Polity Press.
Hair, J. F. Jr. , Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall.
Harris, A. L., & Robinson, K. (2007). Schooling behaviors or prior Skills? A cautionary tale of omitted variable bias within oppositional culture theory. Sociology of Education, 80(2), 139-157.
Heckman, J. J., & Rubinstein, Y. (2001). The importance of noncognitive skills: Lessons from the GED testing program. American Economic Review, 91(2), 145-149.
Heckman, J. J., Stixrud, J., & Urzúa, S. (2006). The effects of cognitive and non- cognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24(3), 411-482.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit Indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6 (1),1-55.
Jacob, B. A. (2002). Where the boys aren't: Non-cognitive skills, returns to school and the gender gap in higher education. Economics of Education Review, 21(6), 589-598.
Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User's reference guide. Lincolnwood, IL: Scientific Software International.
Kline, R. B. (2011). Principles and practice of structural equation modeling (3nd ed.). New York: Guilford Press.
Lareau, A. (2003). Unequal childhoods: class, race, and family life. Berkeley: University of California Press.
Lleras, C. (2008). Do skills and behaviors in high school matter? The contribution of noncognitive factors in explaining differences in educational attainment and earnings. Social Science Research, 37(3), 888-902.
MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Prevention Science, 1(4), 173-181.
Mueser, P. (1979). The effects of noncognitive traits. In C. Jencks, M. Corcoran, S. Bartlett , D. Eaglesfleld, G. Jackson, K. McClelland, et al. (Ed.), Who gets ahead: The determinants of economic success in america (pp. 122-158). New York: Basic Books.
Mullis, I. V. S., Martin, M. O., & Foy, P. (2008). TIMSS 2007 international mathematics report: Findings from IEA’s trends in international mathematics and science study at the fourth and eighth grades. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
Noble, J., Davenport, M., Schiel, J., & Pommerich, M. (1999). Relationships between the noncognitive characteristics, high school course work and grades, and test scores of ACT-tested students. ACT Research Report 99-4. (ERIC Document Reproduction Service No. ED 434917)
Osborne-Groves, M. (2005). How important is your personality? Labor market returns to personality for women in the US and UK. Journal of Economic Psychology, 26, 827-841.
Posner, J. K., & Deborah Lowe Vandell (1999). After-school activities and the development of low-income urban children: A longitudinal study. Developmental Psychology, 35(3), 868-879.
Procter, M. (1996). Analyzing other researchers' data. In N. Gilbert (Ed.), Researching social life (pp. 255-286). London: Sage.
Raine-Eudy, R. (2000). Using structural equation modeling to test for differential reliability and validity: An empirical demonstration. Structural Equation Modeling, 7(1), 124-141.
Rosen, J. A., Glennie, E. J., Dalton, B. W., Lennon, J. M., & Bozick, R. N. (2010). Noncognitive skills in the classroom: New perspectives on educational rsearch. RTI Press publication No. BK-0004-1009. Research Triangle Park, NC: RTI International. Retrieved July 15, 2012, from http://www.rti.org/rtipress
Rosenbaum , J. (2001). Beyond college for all: Career paths for the forgotten half. New York: Russell Sage Found.
Rotter, J. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs, 80(1), 1-28.
Saha, L. J., & Fägerlind, I. (1997). Education and development. In L. J. Saha (Eds.), International encyclopedia of the sociology of education (pp.833-841). Oxford: Elsevier Science.
Segal, C. (2008). Symposium on noncognitive skills and their development: Classroom behavior. Journal of Human Resources, 43(4), 783-814.
Silverman, I. W. (2003). Gender differences in delay of gratification: A meta-analysis. Sex Roles, 49(9-10), 451-63.
Torkzadeh, G., Koufteros, X., & Pflughoeft, K. (2003). Confirmatory analysis of computer self-efficacy. Structural Equation Modeling, 10(2), 263-275
Urzúa, S. (2008). Symposium on noncognitive skills and their development: Racial labor market gaps: The role of abilities and schooling choices. Journal of Human Resources, 43(4), 919-971.
West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with non-normal variables: Problems and remedies. In R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues and Applications (pp. 56-75). Thousand Oaks, CA: Sage.